This consistency check seems to have value for AST data flow, but I've
disabled it on the IR for now.
This commit also includes two unrelated changes that seem to fix a
semantic merge conflict.
It turns out that the evaluator will evaluate the GVN stage even when no
predicate from it is needed after optimization of the subsequent stages.
The GVN library is expensive to evaluate, and it'll become even more
expensive when we switch its implementation to IR.
This PR disables the use of GVN in `DataFlow::BarrierNode` for the AST
data-flow library, which should improve performance when evaluating a
single data-flow query on a snapshot with no cache. Precision decreases
slightly, leading to a new FP in the qltests.
There is no corresponding change for the IR data-flow library since IR
GVN is not very expensive.
The IR data flow library now supports virtual dispatch with a library
that's similar to `security.TaintTracking`. In particular, it should
have the same performance characteristics. The main difference is that
non-recursive callers of `flowsFrom` now pass `_` instead of `true` for
`boolean allowFromArg`. This change allows flow through `return` to
actually work.
This is just good enough to cause no performance regressions and pass
the virtual-dispatch tests we have for `security.TaintTracking`. In
particular, it fixes the tests for `UncontrolledProcessOperation.ql`
when enabling `DefaultTaintTracking.qll`.
The data flow library conflates pointers and their objects in some
places but not others. For example, a member function call `x.f()` will
cause flow from `x` of type `T` to `this` of type `T*` inside `f`. It
might be ideal to avoid that conflation, but that's not realistic
without using the IR.
We've had good experience in the taint tracking library with conflating
pointers and objects, and it improves results for field flow, so perhaps
it's time to try it out for all data flow.
The `toString` for IR data-flow nodes are now similar to AST data-flow
nodes. This should make it easier to use the IR as a drop-in replacement
in the future. There are still differences because the IR data flow
library takes conversions into account.
I did not attempt to align the new nodes we use for field flow. That can
come later, when we add field flow to IR data flow.
g++ doesn't support this code:
sorry, unimplemented: non-trivial designated initializers not supported
twoIntFields sSwapped = { .m2 = source(), .m1 = 0 };
so we need to build it in clang mode.
This commit removes fields from the responsibilities of `FlowVar.qll`.
The treatment of fields in that file was slow and imprecise.
It then adds another copy of the shared global data flow library, used
only to find local field flow, and it exposes that local field flow
through `localFlow` and `localFlowStep`.
This has a performance cost. It adds two cached stages to any query that
uses `localFlow`: the stage from `DataFlowImplCommon`, which is shared
with all queries that use global data flow, and a new stage just for
`localFlowStep`.
This removes a lot of flow steps, but it all seems to be flow that was
present twice: both exiting a `PartialDefNode` and a
`DefinitionByReferenceNode`. All `DefinitionByReferenceNode`s are now
`PartialDefNode`s.
This changes all the getters on `Instruction` to use `getDef` instead of
`getAnyDef`, with the result that these getters now only have a result
if the definition is exact.
This is a backwards-INCOMPATIBLE change.
